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reference-data

by dev.asiaref

check_minimum_wage

PAID ($0.05). Compliance verdict: is a salary at, above or below the country's statutory minimum wage? Returns verdict, margin, the statutory floor and the legal instrument it rests on. Honest statuses when no enforceable floor exists or the period doesn't match the floor's period (cross-period conversion is never guessed). Pass api_key if you have one; otherwise the response explains how to pay via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
amountYesWage to check, in the country's own currency
periodYesPeriod the amount covers — must match the statutory floor's period
api_keyNoAPI key (bypasses x402; metered for invoicing)
countryYesISO country code

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden. It discloses payment, return fields, honest handling of missing floors, and no cross-period guessing. This is fairly transparent, though rate limits or further auth details are omitted.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, compact and front-loaded with key info. Every sentence adds value: payment, purpose, return values, edge cases, and payment method.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema, the description explains return values and edge cases adequately. The tool is simple (4 params, 3 required), and the description covers all necessary aspects for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description reinforces that period must match the floor's period and adds context about honest statuses, but does not add significant new parameter-level details beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool checks if a salary meets statutory minimum wage, returning verdict, margin, floor, and legal instrument. It distinguishes itself from sibling tools (like compute_income_tax) by focusing on compliance, not computation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear usage context: it's a paid tool ($0.05) and explains api_key vs x402 payment. It does not explicitly state when not to use it or name alternatives, but the purpose is distinct enough among siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4.1/5.0
Disambiguation5/5

Each tool targets a distinct reference-data query: minimum wage check, income tax computation, VAT breakdown, working days, public holidays, series current/history/snapshot/catalog, and settlement date. There is no overlap; even get_series and get_series_history are explicitly separated as current vs. historical values.

Naming Consistency4/5

Most tools follow a clear verb_noun pattern (check_, compute_, count_, get_, list_). The one outlier is settlement_date, which is a noun phrase rather than verb_noun, but the deviation is minor and does not cause confusion.

Tool Count5/5

With 10 tools, the set is well-scoped for a reference-data server covering tax, labor, calendars, and settlement. Each tool serves a distinct purpose and none feel redundant or unnecessary.

Completeness4/5

The server provides strong coverage: discovery via list_series, current and historical series values, a bulk snapshot, and domain-specific computations for minimum wage, income tax, VAT, working days, holidays, and settlement dates. Minor gaps exist (e.g., no direct tool for social security contributions), but the core reference-data workflows are well supported.

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